Reconstruction by inpainting for visual anomaly detection

Volume: 112, Pages: 107706 - 107706
Published: Apr 1, 2021
Abstract
Visual anomaly detection addresses the problem of classification or localization of regions in an image that deviate from their normal appearance. A popular approach trains an auto-encoder on anomaly-free images and performs anomaly detection by calculating the difference between the input and the reconstructed image. This approach assumes that the auto-encoder will be unable to accurately reconstruct anomalous regions. But in practice neural...
Paper Details
Title
Reconstruction by inpainting for visual anomaly detection
Published Date
Apr 1, 2021
Volume
112
Pages
107706 - 107706
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